No metadata record was provided with the data. This record is populated with information from the GeoTerra technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.

Washington Department of Natural Resources (WA DNR) contracted with GeoTerr...

No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.

Washington Department of Natural Resources (WA DNR) contrac...

No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.

In September 2017, Quantum Spatial (QSI) was contracted by Wa...

No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.

In July 2018, Quantum Spatial (QSI) was contracted by the Was...

These Lidar data were collected on October 16 to November 5, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the Upper Okanogan River in Canada, the Lower Okanogan River in Washington State, and Lake Roosevelt in Washington State. The study areas total ~560 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.

No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.

In September 2017, Quantum Spatial (QSI) was contracted by th...

This page offers access to lidar data of the western Rainier seismic zone, adjacent to Mt. Rainier, in Pierce County, WA. This dataset covers approximately 325 square kilometers and includes approximately a billion data points. Point density is approximately 2 points per square meter. For more information on these data please see this abstract. These data were acquired by NASA, in collaboration with the United States Geologic Survey and the Puget Sound Lidar Consortium, with funding provided by NASA's Earth Surface and Interior Focus Area. The data was collected and processed by Terrapoint. The data are in the public domain with no restrictions on their use.

The EarthScope Yakima Lidar Project acquired high resolution lidar topography data along the Yakima River in Central Washington as part of the EarthScope Facility project funded by the National Science Foundation (NSF).

Publications associated with this dataset can be found at NCALM's Data Tracking Center

No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal.

In 2014 WSI, a Quantum Spatial (QSI) company, was contracted by Washington State Department of Natural Resources (Washington DNR) to collect Light Detection and Ranging (LiDAR)...

The U.S. DOI Office of Surface Mining Reclamation and Enforcement funded this aerial LiDAR and aerial imagery survey. The dataset covers the John Henry Mine (surface coal mine) in Washington.

The intended use of the data is to support the corresponding mine teams on current and future projects. Example use cases include: precise area and volumetric measurements, assisting with upcoming TOJs (Termination of Jurisdictions) and bond releases, change detection analysis, monitoring the progression and reclamation of mining, and visualizing 3D models.

These data include shapefiles of streamlined subglacial bedforms, elongate bedforms created at the glacier-bed interface by erosional and depositional processes, characterized by polygons across nine isolated bedrock highs in the deglaciated Puget Lowland of Washington state. These data are based on digital elevation models (DEMs) published by Clallam County, Washington Department of Natural Resources, WA, 2008, Quantum Spatial Inc., 2017, 2019; OCM Partners, 2019a, 2019b. Streamlined subglacial bedforms polygons were identified using two semi-automated tools utilizing Topographic Position Index (TPI) methodology (McKenzie et al., 2022) and contour tree-mapping (Wang et al., 2017) used to calculate slope and elevation variations across any Digital Elevation Model, respectively. Shapefile attribute tables and excel file include streamlined bedform morphologies for all 3,273 bedforms categorized into upstream, on top of, or downstream of the topographic bump based on the direction of ice flow. The morphometric information for all bedforms includes features area, width, length, orientation, elevation and slope ranges, and elongation. The morphological characteristics of these streamlined subglacial bedforms provide information on ice-streaming characteristics and changes across topographic highs in the subglacial environment. We acknowledge the Washington Department of Natural Resources for their LiDAR Portal that made accessing this data possible. The sites analyzed for this work are located on land historically cultivated and inhabited by the Skokomish, Suquamish, Squaxin, Stl'pulmsh, Steilacoom, Puyallup, Muckleshoot, and Duwamish peoples, while much of the data analysis and interpretation were conducted on land cultivated and inhabited by the Monacan Nation. The peoples of these Nations were custodians of the land for time immemorial before forced removal and genocide during colonization. The authors acknowledge their ongoing stewardship of the lands. This work was funded by the Chamberlain Endowment and the H.G. Goodell Endowment at the University of Virginia.References for digital elevation data used:Clallam County, Olympic Department of Natural Resources, Washington Department of Transportation, 2008, Puget Lowlands 2005 [datafile]. Retrieved from https://lidarportal.dnr.wa.gov/#47.85003:-122.92053:7.OCM Partners, 2019a, 2017 USGS Lidar: Olympic Peninsula, WA from 2010-06-15 to 2010-08-15. NOAA National Centers for Environmental Information, https://www.fisheries.noaa.gov/inport/item/59232.OCM Partners, 2019b, 2019 WA DNR Lidar: San Juan County, WA from 2010-06-15 to 2010-08-15. NOAA National Centers for Environmental Information, https://www.fisheries.noaa.gov/inport/item/67199.Quantum Spatial, Inc., 2017, Western Washington 3DEP LiDAR. United States Geological Survey.Quantum Spatial, Inc., 2019, Olympic Peninsula , Washington 3DEP LiDAR. United States Geological Survey.

The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects. In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah. The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files. The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners.

These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.

Sanborn was required to perform quality assurance checks on the Pierce County LiDAR dataset collected late December, 2010 through early February, 2011 by Watershed Sciences, Inc. A Leica ALS50 II was used for collection and flown 900-1300 meters above ground level using pulse rates of 83-105.9 kHz. This collection was designed to achieve a pulse density ≥8 points per meter over terrestrial surfaces in western Washington.https://www.co.pierce.wa.us/DocumentCenter/View/78139/Pierce-County-Lidar-Report-Final

No metadata record was provided with the data. This record is populated with information from the NV5 Geospatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.

In April 2021, NV5 Geospatial (NV5) was contracted by the Wash...

Sanborn was required to perform quality assurance checks on the Pierce County LiDAR dataset collected late December, 2010 through early February, 2011 by Watershed Sciences, Inc. A Leica ALS50 II was used for collection and flown 900-1300 meters above ground level using pulse rates of 83-105.9 kHz. This collection was designed to achieve a pulse density ≥8 points per meter over terrestrial surfaces in western Washington.https://www.co.pierce.wa.us/DocumentCenter/View/78139/Pierce-County-Lidar-Report-Final

Data was collected in September 2018 for 3-D high resolution geologic mapping of the Goat Rocks Volcano in Washington State. This collection was part of a 2017 Seed Project for Kellie Wall at Oregon State University. Approximately 67 km² of high resolution data were collected for this project.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

No metadata record was provided with the data. This record is populated with information from the GeoTerra, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal.

GeoTerra, Inc. was selected by Washington Department of Natural Resources (DNR) to provide LiDAR remote sensing data including LAS files of the classified LiDAR points and derivative...

The U.S. DOI Office of Surface Mining Reclamation and Enforcement funded this aerial LiDAR and aerial imagery survey. The dataset covers the Centralia Mine (surface coal mine) in Washington.

The intended use of the data is to support the corresponding mine teams on current and future projects. Example use cases include: precise area and volumetric measurements, assisting with upcoming TOJs (Termination of Jurisdictions) and bond releases, change detection analysis, monitoring the progression and reclamation of mining, and visualizing 3D models.

NCALM Seeds. PIs: Nicholas Legg, Oregon State University and Scott Anderson, University of Colorado, Boulder. The requested survey area consisted of two separate polygons within the boundary of Mount Rainier National Park in Washington on the southwestern flank of the volcano. Their close proximity enabled the two surveys to be flown most efficiently as a single polygon. The eastern polygon (Legg) covers the Kautz Creek watershed and was collected to investigate landscape response to debris flows in order to implicate hazards in Mt. Rainier National Park. The western polygon (Anderson) covers the Tahoma Creek watershed and was collected to assess climatically-driven aggradation in a mountain stream. The total area for the combined survey including the area between the requested polygons and the additional coverage in the northwest corner is approximately 123 square kilometers. The survey required 4 flights which took place from August 28, 2012 - September 1, 2012.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

This lidar dataset was collected as part of an NCALM Seed grant for Cassie Lumbrazo at the University of Washington. This study used airborne lidar to evaluate the hydrologic effects of forest restoration in Washington State s Eastern Cascade Mountains. The study area consists of sections located northwest of Ellensburg, WA, and covers approximately 62.7 km².

Publications associated with this dataset can be found at NCALM's Data Tracking Center